基于白化和平均时延的振动信号去相关研究

汪星星; 李舜酩; 张袁元; 郭海东

基于白化和平均时延的振动信号去相关研究

1.
南京航空航天大学能源与动力学院, 南京 210016

详细信息

作者简介:
汪星星(1988－)，硕士研究生，研究方向为汽车振动与噪声控制，wangxx－max@163.com;李舜酩(联系人)，教授，博士生导师，smli@nuaa.edu.cn

汪星星(1988－)，硕士研究生，研究方向为汽车振动与噪声控制，wangxx－max@163.com;李舜酩(联系人)，教授，博士生导师，smli@nuaa.edu.cn

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出版历程
- 收稿日期: 2012-10-10
- 刊出日期: 2015-06-10

The De-correlation Research of Vibration Signals Based on the Whitening and Average Delays

1.
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016

摘要

摘要: 实际工程中所采集的多个激励源信号之间往往存在着复杂的相关性,针对此问题,提出了一种时延平均白化的去相关方法。该方法借鉴了联合对角化思想,对白化信号的多个非零延时相关矩阵进行了平均,提取了正交解相关分离矩阵,完成了信号的去相关分离。在阐述理论依据的基础上,给出了时延平均白化去相关方法的详细分析流程。仿真信号以及实车振动信号的分析,说明了该方法对于具有复杂相关性的振动源信号具有满意的去相关分离效果。
- 相关 /
- 时延 /
- 白化 /
- 振动信号
Abstract: In the real engineering,complex correlation usually existed among multiple acquired excitation source sig-nals.In order to solve this problem,a new de-correlation method based on the average delay whiting is proposed to de-correlate these signals.In this method,several correlation matrixes with different non-zero delays are averaged based on the theory of joint diagonalization,and then the orthogonal matrix to de-correlate the signals is extracted to achieve the separation of correlated signals.A detailed analysis process is presented by elaborating the basic theory of this method.The analysis of simulated signals and vibration signals of real vehicle shows that this method has satisfied separation result for complex correlated vibration source signals.
- computer simulation /
- correlation /
- delay /
- experiments

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参考文献(11)

[1]	陈茉莉，李舜酩．信号源识别的相干函数法[J]. 中国机械工程，2007，18(1): 95-100 Chen M L，Li S M. Coherence functions method for sig-nal source identification[J]. China Mechanical Engi-neering，2007，18(1): 95-100 (in Chinese)
[2]	Park J S，Kim K J. Determination of priority among cor-related inputs in source identification problems [J]. Mechanical Systems and Signal Processing，1992，6(6): 491-502
[3]	刘培晨，戈升波．利用偏相干函数识别振动源和噪声源[J]. 山东纺织工学院学报，1994，9(4): 58-64 Liu P C，Ge S B. Using partial coherence function for vi-bration source and noise source identification[J]. Journal of Shandong College of Textile Technology，1994，9(4): 58-64 (in Chinese)
[4]	Alfredson R J. The partial coherence technique for source identification on a diesel engine[J]. Journal of Sound and Vibration，1977，(55): 487-494
[5]	马超，吕志强，章林柯．基于 BSS 的韩噪声机械振动信号分离研究[J]. 噪声与振动控制，2010，12(6): 161-164 Ma C，Lü Z Q，Zhang K L. Separation of mechanical vibration signals including environmental noise based on blind source separation [J]. Noise and Vibration Control，2010，12(6): 161-164 (in Chinese)
[6]	Comon P. Independent component analysis，a new concept[J]. Signal Processing，1994，36(3): 287-314
[7]	Bell A J，Sejnowski T J. An information maximization ap-proach to blind separation and blind deconvolution [J]. Neural Computation，1995，7(1): 1129-1159
[8]	江涌，章林柯，何琳，等．两次去相关用于振动信号盲分离[J]. 振动、测试与诊断，2011，2(31): 241-245 Jiang Y，Zhang L K，He L，et al. Blind separation of vibration signals using double de-correlation [J]. Journal of Vibration;Measurement and Diagnosis，2011，2(31): 241-245 (in Chinese)
[9]	马建仓，牛奕龙，陈海洋．盲信号处理[M]. 北京:国防工业出版社，2006. 6: 68-70 Ma J C，NiuY L，Chen H Y. Blind signal processing [M]. Beijing: National Defense Industrial Press，2006，6: 68-70 (in Chinese)
[10]	Cichocki A，Shun-ichi A. 自适应盲信号与图像处理[M]. 吴正国，唐劲松，章林柯．北京:电子工业出版社，2005 Cichocki A，Shun-ichi A. Adaptive blind signal and im-age processing[M]. Wu Z G，Tan J S，Zhang K L．Beijing:Publishing House of Electronics Industry，2005 (in Chinese)
[11]	李舜酩．振动信号的盲源分离技术及应用[M]. 北京:航空工业出版社，2011: 20-46 Li S M. Blind source separation technology and its applica-tion in vibration signal [M]. Beijing: Aviation IndustryPress，2011: 20-46 (in Chinese)